What is the Azure Data Factory? | How to Use the Azure Data Factory

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  • เผยแพร่เมื่อ 26 ก.ย. 2024

ความคิดเห็น • 14

  • @JoseMorales-ws6ro
    @JoseMorales-ws6ro ปีที่แล้ว +2

    The screen to write down your ideas is great!

  • @distantignition
    @distantignition ปีที่แล้ว +3

    I feel like this single video gave me the info I need to add ADF to a Terraform GitOps pipeline, so thanks! I'll at least be able to ask the right questions. Much appreciated.

  • @eugeniosp3
    @eugeniosp3 2 ปีที่แล้ว +4

    Man...you are the best teacher for these topics. Easy subscribe :D

  • @Arjun01028
    @Arjun01028 3 ปีที่แล้ว +6

    Your presentation is so easy to Understand your the best... Keep doing it

    • @ITProTv
      @ITProTv  3 ปีที่แล้ว

      I appreciate that!

  • @jsonify
    @jsonify 2 ปีที่แล้ว +6

    I absolutely love your tutorials. So very informative. Is there any chance you might do a tutorial on converting an AVRO file that was stored in a Data Lake, to a CSV that can be stored in the SQL DB? This seems like it should be a pretty straight forward out-of-the-box solution, but the AVRO body looks like it needs to be decoded in Data Factory first. Thank you!

  • @JP-kk2pu
    @JP-kk2pu 3 ปีที่แล้ว +3

    Another great presentation.

    • @ITProTv
      @ITProTv  3 ปีที่แล้ว

      Thanks you!

  • @douglasbarbosadelgado9826
    @douglasbarbosadelgado9826 2 ปีที่แล้ว +2

    It was very clear. Thank you very much.

  • @vishwanathg9618
    @vishwanathg9618 2 ปีที่แล้ว +2

    very good explained

  • @daviddawid123
    @daviddawid123 ปีที่แล้ว +1

    Thanks for the video... Quick question The Gears within the pipeline and you said transformation, am i correct to say the transformation is fact tables and dimension tables are derived from the fact tables at that point?

  • @sanjayg2686
    @sanjayg2686 2 ปีที่แล้ว +2

    Soooper Sir, thanks

  • @RECKED_NOXIN
    @RECKED_NOXIN 8 หลายเดือนก่อน +1

    energetic video

  • @yonisupersaiyanyoni3693
    @yonisupersaiyanyoni3693 ปีที่แล้ว +1

    So it's like SSIS in cloud